{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data visualization with pandas\n",
    "### ...or, how to make matplotlib look a little nicer\n",
    "\n",
    "- documentation: http://matplotlib.org/api/index.html\n",
    "- examples: http://matplotlib.org/examples/index.html\n",
    "- gallery: http://matplotlib.org/gallery.html\n",
    "\n",
    "Today we'll break down the components and styling of bar charts, line charts, scatter plots, and pie charts. You'll learn the gist of dissecting matplotlib and bending it to your will. Once you've learned how to do all of this, other Python visualization libraries are quite easy to pick up.\n",
    "\n",
    "There are other nice visualization libraries out there, such as:\n",
    "- seaborn: https://web.stanford.edu/~mwaskom/software/seaborn/\n",
    "- bokeh: http://bokeh.pydata.org/en/latest/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# magic command to display matplotlib plots inline within the ipython notebook webpage\n",
    "%matplotlib inline\n",
    "\n",
    "# import necessary modules\n",
    "import pandas as pd, numpy as np, matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm, matplotlib.font_manager as fm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## load the data sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# load the gps coordinate data, using the date as the full set's index\n",
    "# the data files are encoded as utf-8: specify so to prevent matplotlib from choking on diacritics\n",
    "df = pd.read_csv('data/summer-travel-gps-full.csv', encoding='utf-8', index_col='date', parse_dates=True)\n",
    "rs = pd.read_csv('data/summer-travel-gps-dbscan.csv', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-14 09:07:00</th>\n",
       "      <td>51.481292</td>\n",
       "      <td>-0.451011</td>\n",
       "      <td>West Drayton</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-14 09:22:00</th>\n",
       "      <td>51.474005</td>\n",
       "      <td>-0.450999</td>\n",
       "      <td>Hounslow</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-14 10:51:00</th>\n",
       "      <td>51.478199</td>\n",
       "      <td>-0.446081</td>\n",
       "      <td>Hounslow</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-14 11:24:00</th>\n",
       "      <td>51.478199</td>\n",
       "      <td>-0.446081</td>\n",
       "      <td>Hounslow</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-14 11:38:00</th>\n",
       "      <td>51.474146</td>\n",
       "      <td>-0.451562</td>\n",
       "      <td>Hounslow</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           lat       lon          city         country\n",
       "date                                                                  \n",
       "2014-05-14 09:07:00  51.481292 -0.451011  West Drayton  United Kingdom\n",
       "2014-05-14 09:22:00  51.474005 -0.450999      Hounslow  United Kingdom\n",
       "2014-05-14 10:51:00  51.478199 -0.446081      Hounslow  United Kingdom\n",
       "2014-05-14 11:24:00  51.478199 -0.446081      Hounslow  United Kingdom\n",
       "2014-05-14 11:38:00  51.474146 -0.451562      Hounslow  United Kingdom"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>date</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>51.478199</td>\n",
       "      <td>-0.446081</td>\n",
       "      <td>05/14/2014 10:51</td>\n",
       "      <td>Hounslow</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38.781775</td>\n",
       "      <td>-9.137544</td>\n",
       "      <td>05/14/2014 15:11</td>\n",
       "      <td>Lisbon</td>\n",
       "      <td>Portugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>38.771939</td>\n",
       "      <td>-9.128911</td>\n",
       "      <td>05/14/2014 15:41</td>\n",
       "      <td>Lisbon</td>\n",
       "      <td>Portugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38.742987</td>\n",
       "      <td>-9.147780</td>\n",
       "      <td>05/14/2014 16:11</td>\n",
       "      <td>Lisbon</td>\n",
       "      <td>Portugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>38.693780</td>\n",
       "      <td>-9.206363</td>\n",
       "      <td>05/15/2014 14:19</td>\n",
       "      <td>Lisbon</td>\n",
       "      <td>Portugal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat       lon              date      city         country\n",
       "0  51.478199 -0.446081  05/14/2014 10:51  Hounslow  United Kingdom\n",
       "1  38.781775 -9.137544  05/14/2014 15:11    Lisbon        Portugal\n",
       "2  38.771939 -9.128911  05/14/2014 15:41    Lisbon        Portugal\n",
       "3  38.742987 -9.147780  05/14/2014 16:11    Lisbon        Portugal\n",
       "4  38.693780 -9.206363  05/15/2014 14:19    Lisbon        Portugal"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# define the font styles\n",
    "title_font = fm.FontProperties(family='Bitstream Vera Sans', style='normal', size=15, weight='normal', stretch='normal')\n",
    "label_font = fm.FontProperties(family='Bitstream Vera Sans', style='normal', size=12, weight='normal', stretch='normal')\n",
    "ticks_font = fm.FontProperties(family='Bitstream Vera Sans', style='normal', size=10, weight='normal', stretch='normal')\n",
    "annotation_font = fm.FontProperties(family='Bitstream Vera Sans', style='normal', size=10, weight='normal', stretch='normal')\n",
    "axis_bgcolor = '#f0f0f0'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First up: Bar Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Spain                     646\n",
       "Portugal                  256\n",
       "Germany                   225\n",
       "Czech Republic            130\n",
       "Poland                    104\n",
       "Turkey                     94\n",
       "Greece                     82\n",
       "Montenegro                 51\n",
       "Macedonia (FYROM)          34\n",
       "Croatia                    30\n",
       "Kosovo                     30\n",
       "Albania                    29\n",
       "Bosnia and Herzegovina     26\n",
       "Serbia                     15\n",
       "United Kingdom              7\n",
       "Name: country, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the most visited countries\n",
    "countries = df['country'].value_counts()\n",
    "countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11e8ee73828>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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w3xe/9QJPki62vWcb7VtJ/CcBO9k+rs5t3tj291qIey7wj8CHXOv6NF14VVdb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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8ecace80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# default matplotlib bar chart\n",
    "countries.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MrCs4aTEzM7Ou4KTFzMzMuoKTFjMzM+sKTlrMzMysKzhpMTMzs67gpMXMzMy6gpMWMzMz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\n8F4NO77mAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8ee3b5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# style the chart to make it look nicer\n",
    "ax = countries.plot(kind='bar', figsize=[9, 6], width=0.6, alpha=0.6, \n",
    "                    color='g', edgecolor='k', grid=False, ylim=[0, 700])\n",
    "\n",
    "ax.set_xticklabels(countries.index, rotation=45, rotation_mode='anchor', ha='right', fontproperties=ticks_font)\n",
    "ax.yaxis.grid(True)\n",
    "for label in ax.get_yticklabels():\n",
    "    label.set_fontproperties(ticks_font)\n",
    "\n",
    "ax.set_axis_bgcolor(axis_bgcolor)   \n",
    "ax.set_title('Most Visited Countries', fontproperties=title_font)\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('Number of GPS records', fontproperties=label_font)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you try: re-create the plot above, but make the bars orange with maroon edges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# make a re-usable function to draw nice bar charts\n",
    "def bar_chart(data, title='', xlabel='', ylabel='', color='k', ylim=None):\n",
    "    \n",
    "    ax = data.plot(kind='bar', figsize=[9, 6], width=0.6, alpha=0.6, \n",
    "                   color=color, edgecolor='k', grid=False, ylim=ylim)\n",
    "\n",
    "    ax.set_xticklabels(data.index, rotation=45, rotation_mode='anchor', ha='right', fontproperties=ticks_font)\n",
    "    ax.yaxis.grid(True)\n",
    "    for label in ax.get_yticklabels():\n",
    "        label.set_fontproperties(ticks_font)\n",
    "\n",
    "    ax.set_axis_bgcolor(axis_bgcolor)   \n",
    "    ax.set_title(title, fontproperties=title_font)\n",
    "    ax.set_xlabel(xlabel, fontproperties=label_font)\n",
    "    ax.set_ylabel(ylabel, fontproperties=label_font)\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vKohFRERE+omuEpB/mtmaZjYQ2NDCAI0DIiIiInOrq6dgzgYeBYak6f/WvK9x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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8edeac88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let's re-scale the data and use our new function\n",
    "log_countries = np.log(df['country'].value_counts())\n",
    "\n",
    "bar_chart(data=log_countries, \n",
    "          title='Most Visited Countries', \n",
    "          ylabel='Log of number of GPS records', \n",
    "          color='m', \n",
    "          ylim=[0,7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Barcelona    632\n",
       "Lisbon       158\n",
       "Tübingen     131\n",
       "Prague        97\n",
       "Istanbul      94\n",
       "Athens        67\n",
       "Porto         58\n",
       "Krakow        58\n",
       "Freiburg      54\n",
       "Kotor         51\n",
       "Ohrid         34\n",
       "Prizren       30\n",
       "Berat         27\n",
       "Name: city, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# do the same thing, but now for the most visited cities instead of countries\n",
    "cities = df['city'].value_counts().head(13)\n",
    "cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZVHfSEsC1kn4p6agyb3hEzAWIiEeAdcr8kcCsyt/OLvPMzMxsGbR8zdvbISLmSFobuEbS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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8f751ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Most Visited Cities'\n",
    "ylabel = 'Number of GPS records'\n",
    "color = 'r'\n",
    "bar_chart(cities, title=title, ylabel=ylabel, color=color)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you try: use our bar_chart() function to create a plot like the one above, but give it an x-axis label and use the cities' log values, like we did earlier for countries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Next: scatter plots as simple maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11e8f6b51d0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1NubMmce3vnUvFRWTqKq6LtshST/SQnVZduKJpTQ2ttFVzWDHjudUM5CcECyi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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8f78ac50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scatter plot the longitude and latitude data, with matplotlib defaults\n",
    "rs.plot(kind='scatter', x='lon', y='lat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-14 15:11:00</th>\n",
       "      <td>38.781775</td>\n",
       "      <td>-9.137544</td>\n",
       "      <td>Lisbon</td>\n",
       "      <td>Portugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-17 15:13:00</th>\n",
       "      <td>41.145266</td>\n",
       "      <td>-8.610441</td>\n",
       "      <td>Porto</td>\n",
       "      <td>Portugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 00:04:00</th>\n",
       "      <td>41.377119</td>\n",
       "      <td>2.151632</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-30 17:59:00</th>\n",
       "      <td>50.097330</td>\n",
       "      <td>19.895394</td>\n",
       "      <td>Krakow</td>\n",
       "      <td>Poland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-02 12:10:00</th>\n",
       "      <td>50.087729</td>\n",
       "      <td>14.660600</td>\n",
       "      <td>Prague</td>\n",
       "      <td>Czech Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-06 19:06:00</th>\n",
       "      <td>48.518270</td>\n",
       "      <td>9.058023</td>\n",
       "      <td>Tübingen</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-07-05 05:32:00</th>\n",
       "      <td>37.967669</td>\n",
       "      <td>23.729203</td>\n",
       "      <td>Athens</td>\n",
       "      <td>Greece</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-07-06 20:42:00</th>\n",
       "      <td>40.982352</td>\n",
       "      <td>28.815756</td>\n",
       "      <td>Istanbul</td>\n",
       "      <td>Turkey</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           lat        lon       city         country\n",
       "date                                                                \n",
       "2014-05-14 15:11:00  38.781775  -9.137544     Lisbon        Portugal\n",
       "2014-05-17 15:13:00  41.145266  -8.610441      Porto        Portugal\n",
       "2014-05-19 00:04:00  41.377119   2.151632  Barcelona           Spain\n",
       "2014-05-30 17:59:00  50.097330  19.895394     Krakow          Poland\n",
       "2014-06-02 12:10:00  50.087729  14.660600     Prague  Czech Republic\n",
       "2014-06-06 19:06:00  48.518270   9.058023   Tübingen         Germany\n",
       "2014-07-05 05:32:00  37.967669  23.729203     Athens          Greece\n",
       "2014-07-06 20:42:00  40.982352  28.815756   Istanbul          Turkey"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get a single representative point from the data set for each of the most visited cities\n",
    "most_visited_cities_index = df['city'].value_counts().head(8).index\n",
    "most_visited_cities = pd.DataFrame(df[df['city'].isin(most_visited_cities_index)])\n",
    "most_visited_cities.drop_duplicates(subset=['city'], keep='first', inplace=True)\n",
    "most_visited_cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AMaZGRDL7uSal1Fnm6aef5q233uL5558/pXcr9mSMwbZtIBKKWptb8TX5iDNx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\niEgI/B9/toHDE2Wf6wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8f833fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(10, 6)\n",
    "rs_scatter = ax.scatter(x=rs['lon'], y=rs['lat'], c='m', edgecolor='k', alpha=.4, s=150)\n",
    "\n",
    "# set font of tick labels\n",
    "for label in ax.get_xticklabels():\n",
    "    label.set_fontproperties(ticks_font)\n",
    "for label in ax.get_yticklabels():\n",
    "    label.set_fontproperties(ticks_font)\n",
    "\n",
    "# set title, axis labels, background color\n",
    "ax.set_title('Most Visited Cities', fontproperties=title_font)\n",
    "ax.set_xlabel('Longitude', fontproperties=label_font)\n",
    "ax.set_ylabel('Latitude', fontproperties=label_font)\n",
    "ax.set_axis_bgcolor(axis_bgcolor)\n",
    "\n",
    "# annotate each of the most visited cities on the map\n",
    "bbox_style = {'boxstyle':'round', 'color':'k', 'fc':'w', 'alpha':0.8}\n",
    "arrowprops_style = {'arrowstyle':'->', 'connectionstyle':'arc3,rad=0.5', 'color':'k', 'alpha':0.8}\n",
    "annotate_cities = lambda row: ax.annotate(row['city'], \n",
    "                                          xy=(row['lon'], row['lat']),\n",
    "                                          xytext=(row['lon'] + 1, row['lat'] + 1),\n",
    "                                          fontproperties=annotation_font,\n",
    "                                          bbox=bbox_style,\n",
    "                                          xycoords='data',\n",
    "                                          arrowprops=arrowprops_style)\n",
    "most_visited_cities.apply(annotate_cities, axis=1)\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you try: re-create the scatter plot above, but give the points a different size and alpha. Experiment with moving the annotation labels around and changing the arrow style."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Line charts, with annotation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2014-05-14    36\n",
       "2014-05-15    61\n",
       "2014-05-16    57\n",
       "2014-05-17    64\n",
       "2014-05-18    50\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the count of records by date\n",
    "countdata = df.groupby(df.index.date).size()\n",
    "countdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11e8f7d6f60>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JSwYsc4+apNoyiaWQYQiiEvd33tGxTP70p5aGo2HDdEb0LVtKO3Y6viUThwaq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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8ed3e080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# default matplotlib line chart\n",
    "countdata.plot(kind='line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YxCIaYDwo/6mUmiMi24C5SqkjInIaRu2nc3s4hUaj0Wg0EYjInzDcl0sxCiFr74rGlthB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3HnlSv0fv3rLLBnUr7u9/OyqyU6HZZSPDU66jxeHwyy2qV5qyf5ov1T9nspVKjfKMdFPckcG32X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\nIP4LQZgfVgqrgCwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e908e45c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a nicer line plot\n",
    "fig, ax = plt.subplots()\n",
    "ax = countdata.plot(kind='line',\n",
    "                    figsize=[10, 5],\n",
    "                    linewidth='3', \n",
    "                    alpha=0.5,\n",
    "                    marker='o',\n",
    "                    color='c')\n",
    "\n",
    "# add annotations for explanation\n",
    "ax.annotate('Left the EU', \n",
    "                 xy=('2014-06-20', 60),\n",
    "                 fontproperties=annotation_font,\n",
    "                 bbox=dict(boxstyle='round', color='k', fc='w', alpha=0.7),\n",
    "                 xycoords='data')\n",
    "\n",
    "ax.annotate('Had WiFi', \n",
    "                 xy=('2014-06-23', 40),\n",
    "                 fontproperties=annotation_font,\n",
    "                 bbox=dict(boxstyle='round', color='k', fc='w', alpha=0.7),\n",
    "                 xycoords='data')\n",
    "\n",
    "ax.annotate('Return to EU', \n",
    "                 xy=('2014-07-01', 53.5),\n",
    "                 fontproperties=annotation_font,\n",
    "                 bbox=dict(boxstyle='round', color='k', fc='w', alpha=0.7),\n",
    "                 xycoords='data')\n",
    "\n",
    "# set the x-ticks/labels for every nth row of the data: 1 tick mark per horizontal inch\n",
    "n = len(countdata) / int(fig.get_size_inches()[0]) #interval between tick marks\n",
    "xtick_data = countdata.iloc[range(0, len(countdata), 7)] #rows spaced apart by that interval (ie, weekly)\n",
    "ax.xaxis.set_ticks(xtick_data.index) #set the tick labels as the dates of those rows\n",
    "ax.set_xlim(['2014-05-13', '2014-07-10'])\n",
    "\n",
    "ax.xaxis.grid(True)\n",
    "ax.yaxis.grid(True)\n",
    "\n",
    "# set tick labels, axis labels, and title\n",
    "ax.set_xticklabels(xtick_data.index, rotation=35, rotation_mode='anchor', ha='right', fontproperties=ticks_font)\n",
    "for label in ax.get_yticklabels():\n",
    "    label.set_fontproperties(ticks_font)\n",
    "ax.set_title('Number of records in the data set, by date', fontproperties=title_font)\n",
    "ax.set_xlabel('', fontproperties=label_font)\n",
    "ax.set_ylabel('Number of GPS records', fontproperties=label_font)\n",
    "ax.set_axis_bgcolor(axis_bgcolor)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you try: re-create the plot above with different line widths, colors, and point markers. Play with moving the annotation labels around. Make the vertical tick marks 3 days apart instead of 5.\n",
    "\n",
    "After class, experiment with a more advanced challenge like smoothing the line:\n",
    "- https://stackoverflow.com/questions/5283649/plot-smooth-line-with-pyplot\n",
    "- https://stackoverflow.com/questions/25825946/generating-smooth-line-graph-using-matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pie charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "113\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Barcelona    632\n",
       "Lisbon       158\n",
       "Tübingen     131\n",
       "Prague        97\n",
       "Istanbul      94\n",
       "Name: city, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities = df['city'].value_counts()\n",
    "print(cities.count())\n",
    "cities.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11e8f88d8d0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SW9MJLMFNTFc9PiR41SamM3o4dcC+NTDzIVh5oqpa9rRh9BBMfHQRIrIzSR7jlD4iPGLq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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e90954748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw a pie chart nightmare\n",
    "cities.plot(kind='pie')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# function to produce more beautiful pie charts with matplotlib\n",
    "def pie_chart(fractions, #values for the wedges\n",
    "              labels, #labels for the wedges\n",
    "              title = '', #title of the pie chart\n",
    "              cm_name = 'Pastel1', #name of the matplotlib colormap to use\n",
    "              autopct = lambda x: str(round(x, 1)) + '%', #format the value text on each pie wedge\n",
    "              labeldistance = 1.05, #where to place wedge labels in relation to pie wedges\n",
    "              shadow = True, #shadow around the pie\n",
    "              startangle = 90, #rotate 90 degrees to start the top of the data set on the top of the pie\n",
    "              edgecolor = 'w', #color of pie wedge edges\n",
    "              width = 8, #width of the figure in inches\n",
    "              height = 8, #height of the figure in inches\n",
    "              grouping_threshold = None, #group all wedges below this value into one 'all others' wedge\n",
    "              grouping_label = None): #what to label the grouped wedge\n",
    "    \n",
    "    # if the user passed a threshold value, group all fractions lower than it into one 'misc' pie wedge\n",
    "    if not grouping_threshold==None:\n",
    "        \n",
    "        # if user didn't pass a label, apply a default text\n",
    "        if grouping_label == None:\n",
    "            grouping_label = 'Others'\n",
    "\n",
    "        # select the rows greater than the cut-off value\n",
    "        row_mask = fractions > grouping_threshold\n",
    "        meets_threshold = fractions[row_mask]\n",
    "\n",
    "        # group all other rows below the cut-off value\n",
    "        all_others = pd.Series(fractions[~row_mask].sum())\n",
    "        all_others.index = [grouping_label]\n",
    "\n",
    "        # append the grouped row to the bottom of the rows to display\n",
    "        fractions = meets_threshold.append(all_others)\n",
    "        labels = fractions.index\n",
    "    \n",
    "    # get the color map then pull 1 color from it for each pie wedge we'll draw\n",
    "    color_map = cm.get_cmap(cm_name)\n",
    "    num_of_colors = len(fractions)\n",
    "    colors = color_map([x/float(num_of_colors) for x in range(num_of_colors)])\n",
    "    \n",
    "    # create the figure and an axis to plot on\n",
    "    fig, ax = plt.subplots(figsize=[width, height])\n",
    "    \n",
    "    # plot the pie\n",
    "    wedges = ax.pie(fractions, \n",
    "                    labels = labels, \n",
    "                    labeldistance = labeldistance,\n",
    "                    autopct = autopct,\n",
    "                    colors = colors,\n",
    "                    shadow = shadow, \n",
    "                    startangle = startangle)\n",
    "    \n",
    "    # change the edgecolor for each wedge\n",
    "    for wedge in wedges[0]:\n",
    "        wedge.set_edgecolor(edgecolor)\n",
    "    \n",
    "    # set the title and show the plot\n",
    "    ax.set_title(title, fontproperties=title_font)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3iy22eHOziLur88G7ro2za0wW8nxSq2rz8fWXqvrtTIdjOsaSaS9RWlLsFO+1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e8f83e128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cities = df['city'].value_counts()\n",
    "\n",
    "# test out our function\n",
    "pie_chart(fractions = cities,\n",
    "          labels = cities.index,\n",
    "          title = 'Cities, by share of records in data set',\n",
    "          grouping_threshold = 30,\n",
    "          grouping_label = 'All Other Cities')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Se2qzrSL3AO/soqzu9rPZMjP7B5CWdKSZrSD6UXGjpNeAJ4DfmNk9mxVg9mcz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\nQUwIIYToiIKYEEII0dH/A86dLRCSWJQMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e90b0a780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "countries = df['country'].value_counts()\n",
    "\n",
    "# convert the pie wedge percentage into its absolute value (instead of percent share)\n",
    "def my_autopct(pct):\n",
    "    total = sum(countries)\n",
    "    return int(round((pct * total) / 100.))\n",
    "\n",
    "# test out our function\n",
    "pie_chart(fractions = countries,\n",
    "          labels = countries.index,\n",
    "          title = 'Countries, by number of records in data set',\n",
    "          autopct=my_autopct,\n",
    "          grouping_threshold = 30,\n",
    "          grouping_label = 'All Other Countries')"
   ]
  }
 ],
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